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Yulei Niu
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2020 – today
- 2024
- [c28]Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Long Chen, Yulei Niu, Xudong Lin, Xuande Feng, Jaywon Koo, Sounak Ray, Shih-Fu Chang:
Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities. AAAI 2024: 17664-17672 - [c27]Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang:
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos. ICLR 2024 - [i28]Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang:
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos. CoRR abs/2403.01599 (2024) - [i27]Ali Zare, Yulei Niu, Hammad A. Ayyubi, Shih-Fu Chang:
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos. CoRR abs/2403.18600 (2024) - [i26]Jiawei Ma, Yulei Niu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang:
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization. CoRR abs/2405.18405 (2024) - [i25]Hung-Ting Su, Chun-Tong Chao, Ya-Ching Hsu, Xudong Lin, Yulei Niu, Hung-Yi Lee, Winston H. Hsu:
Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies. CoRR abs/2406.10923 (2024) - 2023
- [j3]Long Chen
, Yuhang Zheng
, Yulei Niu
, Hanwang Zhang
, Jun Xiao
:
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13218-13234 (2023) - [c26]Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization. AAAI 2023: 3834-3842 - [c25]Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang:
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection. CVPR 2023: 3208-3218 - [c24]Andrew Lu, Xudong Lin, Yulei Niu, Shih-Fu Chang:
In Defense of Structural Symbolic Representation for Video Event-Relation Prediction. CVPR Workshops 2023: 4940-4950 - [c23]Hung-Ting Su, Yulei Niu, Xudong Lin, Winston H. Hsu, Shih-Fu Chang:
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering. CVPR Workshops 2023: 4951-4960 - [c22]Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang:
Prompt-aligned Gradient for Prompt Tuning. ICCV 2023: 15613-15623 - [i24]Andrew Lu, Xudong Lin, Yulei Niu, Shih-Fu Chang:
In Defense of Structural Symbolic Representation for Video Event-Relation Prediction. CoRR abs/2301.03410 (2023) - [i23]Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization. CoRR abs/2301.12429 (2023) - [i22]Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang:
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection. CoRR abs/2303.09674 (2023) - [i21]Hung-Ting Su, Yulei Niu, Xudong Lin, Winston H. Hsu, Shih-Fu Chang:
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering. CoRR abs/2304.03754 (2023) - 2022
- [c21]Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. AAAI 2022: 3589-3597 - [c20]Kaifeng Gao, Long Chen
, Yulei Niu, Jian Shao, Jun Xiao:
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs. CVPR 2022: 19475-19484 - [c19]Zhen Wang
, Long Chen
, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao:
Explicit Image Caption Editing. ECCV (36) 2022: 113-129 - [c18]Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu
, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui:
NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. ECCV Workshops (6) 2022: 433-450 - [c17]Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad A. Ayyubi, Heng Ji, Shih-Fu Chang:
Weakly-Supervised Temporal Article Grounding. EMNLP 2022: 9402-9413 - [c16]Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing:
Interventional Training for Out-Of-Distribution Natural Language Understanding. EMNLP 2022: 11627-11638 - [c15]Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
On Non-Random Missing Labels in Semi-Supervised Learning. ICLR 2022 - [c14]Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang:
Respecting Transfer Gap in Knowledge Distillation. NeurIPS 2022 - [i20]Beier Zhu
, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang:
Prompt-aligned Gradient for Prompt Tuning. CoRR abs/2205.14865 (2022) - [i19]Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Yulei Niu, Xudong Lin, Long Chen, Jaywon Koo, Sounak Ray, Shih-Fu Chang:
Multimodal Event Graphs: Towards Event Centric Understanding of Multimodal World. CoRR abs/2206.07207 (2022) - [i18]Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
On Non-Random Missing Labels in Semi-Supervised Learning. CoRR abs/2206.14923 (2022) - [i17]Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao:
Explicit Image Caption Editing. CoRR abs/2207.09625 (2022) - [i16]Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad A. Ayyubi, Heng Ji, Shih-Fu Chang:
Weakly-Supervised Temporal Article Grounding. CoRR abs/2210.12444 (2022) - [i15]Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang:
Respecting Transfer Gap in Knowledge Distillation. CoRR abs/2210.12787 (2022) - 2021
- [j2]Yulei Niu
, Hanwang Zhang
, Zhiwu Lu
, Shih-Fu Chang
:
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 347-359 (2021) - [c13]Sicheng Yu, Hao Zhang
, Yulei Niu, Qianru Sun, Jing Jiang
:
COSY: COunterfactual SYntax for Cross-Lingual Understanding. ACL/IJCNLP (1) 2021: 577-589 - [c12]Yulei Niu, Kaihua Tang, Hanwang Zhang
, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CVPR 2021: 12700-12710 - [c11]Yulei Niu, Hanwang Zhang:
Introspective Distillation for Robust Question Answering. NeurIPS 2021: 16292-16304 - [c10]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen:
Domain-Adaptive Few-Shot Learning. WACV 2021: 1389-1398 - [i14]Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao:
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering. CoRR abs/2110.01013 (2021) - [i13]Yulei Niu, Hanwang Zhang:
Introspective Distillation for Robust Question Answering. CoRR abs/2111.01026 (2021) - [i12]Kaifeng Gao, Long Chen, Yulei Niu, Jian Shao, Jun Xiao:
Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs. CoRR abs/2112.04222 (2021) - [i11]Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification. CoRR abs/2112.14380 (2021) - 2020
- [c9]Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
:
Unbiased Scene Graph Generation From Biased Training. CVPR 2020: 3713-3722 - [c8]Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang
:
Two Causal Principles for Improving Visual Dialog. CVPR 2020: 10857-10866 - [c7]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu
, Tao Xiang, Ji-Rong Wen:
Lightweight Action Recognition in Compressed Videos. ECCV Workshops (2) 2020: 337-352 - [i10]Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation from Biased Training. CoRR abs/2002.11949 (2020) - [i9]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo:
Domain-Adaptive Few-Shot Learning. CoRR abs/2003.08626 (2020) - [i8]Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen:
Counterfactual VQA: A Cause-Effect Look at Language Bias. CoRR abs/2006.04315 (2020) - [i7]Sicheng Yu, Yulei Niu, Shuohang Wang, Jing Jiang, Qianru Sun:
Counterfactual Variable Control for Robust and Interpretable Question Answering. CoRR abs/2010.05581 (2020)
2010 – 2019
- 2019
- [j1]Yulei Niu, Zhiwu Lu
, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. IEEE Trans. Image Process. 28(4): 1720-1731 (2019) - [c6]Yulei Niu, Hanwang Zhang
, Manli Zhang, Jianhong Zhang, Zhiwu Lu
, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CVPR 2019: 6679-6688 - [c5]Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu
, Ji-Rong Wen:
Coarse-to-Fine Grained Classification. SIGIR 2019: 1033-1036 - [i6]Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang:
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. CoRR abs/1907.03609 (2019) - [i5]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen:
Mobile Video Action Recognition. CoRR abs/1908.10155 (2019) - [i4]Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang:
Two Causal Principles for Improving Visual Dialog. CoRR abs/1911.10496 (2019) - 2018
- [c4]Hanwang Zhang
, Yulei Niu, Shih-Fu Chang:
Grounding Referring Expressions in Images by Variational Context. CVPR 2018: 4158-4166 - [i3]Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. CoRR abs/1812.02664 (2018) - 2017
- [c3]Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. AAAI 2017: 1474-1480 - [c2]Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu
, Ji-Rong Wen:
Graph-boosted convolutional neural networks for semantic segmentation. IJCNN 2017: 612-618 - [i2]Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang:
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. CoRR abs/1709.01220 (2017) - [i1]Hanwang Zhang, Yulei Niu, Shih-Fu Chang:
Grounding Referring Expressions in Images by Variational Context. CoRR abs/1712.01892 (2017) - 2015
- [c1]Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen:
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. IJCAI 2015: 3749-3755
Coauthor Index
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last updated on 2024-08-16 00:37 CEST by the dblp team
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